Tech Break by Friday

Paraskevi Kivroglou

Hey there! I'm Paraskevi (fun fact: my name means "Friday" in Greek), and this is where I share all my thoughts and discoveries about the tech world that fascinates me. From the latest in AI to game-changing productivity tips, I'm here to explore how we can make technology work for us while keeping the human touch alive. My mission is simple: to help bridge the tech skills gap by sharing knowledge freely and accessibly. Whether you're just starting out or looking to level up your tech game, I'm here to help you navigate this digital landscape with confidence. If you're curious about how to embrace the digital age without losing the joy in life, come along for the ride. I'd love to have you join me on this journey! Instagram: https://www.instagram.com/tech.break.by.friday/ Website: https://www.techbreakbyfriday.com/ kivroglouparaskevi.substack.com

  1. Aug 8

    Thinking Machines' Inkling: Impressive Base Model or Not Ready Yet?

    I tested Thinking Machines Lab's Inkling live across branding, website creation, code reasoning, general knowledge, and an enterprise compliance scenario. Inkling is an open-weights mixture-of-experts model with 975B total parameters and 41B active. But scale is not the real question. The useful question is whether the model can follow instructions, explain its reasoning, produce practical work, and identify risks that matter in real applications. In this episode, you will see: - A general-knowledge answer checked against visible sources - A coffee brand and interactive website concept created without image references - The generated website's strongest ideas and its readability failure - Inkling rejecting a hackish coding shortcut in its own reasoning - A realistic SaaS compliance-assistant test - Why auditability and context quality matter for production AI - My verdict on using Inkling for product work and agent stress testing Learn more about Inkling: - Inkling overview: https://thinkingmachines.ai/inkling/ - Official announcement: https://thinkingmachines.ai/news/introducing-inkling/ - Model card: https://thinkingmachines.ai/model-card/inkling/ Connect with the host, Paraskevi Kivroglou: - LinkedIn: https://www.linkedin.com/in/paraskevi-kivroglou/ - AureliaEdge: https://www.theaureliaedge.com/ - Instagram: https://www.instagram.com/theaureliaedge/ Follow Tech Break by Friday: - Website: https://www.techbreakbyfriday.com/ - YouTube: https://www.youtube.com/@paraskevikivroglou7838 - Spotify: https://open.spotify.com/show/3c6KAQPQ54vxXUvLLRffC1 - Apple Podcasts: https://podcasts.apple.com/us/podcast/tech-break-by-friday/id1796711716 - Instagram: https://www.instagram.com/tech.break.by.friday/ - Substack: https://kivroglouparaskevi.substack.com/ Watch the full episode and subscribe to Tech Break by Friday. Leave your question in the comments for a future Q&A video. ## Chapters 00:00 Why Inkling matters 03:51 Architecture and benchmark tour 07:22 Tinker setup and controls 09:14 General-knowledge verification 10:52 Capella branding challenge 12:30 Website implementation and critique 21:58 Reasoning and code iteration 23:23 Instruction-following business case 25:21 Compliance critique and final verdict 27:40 Closing and viewer Q&A Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

  2. Jul 31

    Episode 58: AI Still Needs Human Creativity w/ Jennifer Tran

    AI can help us research faster, explain unfamiliar concepts, and move between technical fields more easily than before. But there is a difference between producing an answer and understanding why that answer deserves to be trusted. That difference became the heart of my conversation with Jennifer Tran, a technical writer and emerging-technology creator behind Realmscape. Jennifer has worked across web development, cryptography, and quantum computing. Her writing sits in a valuable place that is often missing online: between shallow marketing content and dense academic research. Our conversation was not about rejecting AI. It was about using it without giving away the human abilities that make the work original, useful, and credible. Join Skool and learn AI with a community of welcoming and ambitious individualshttps://www.skool.com/ai-advantage-club-5848/about Writing is a test of understanding Jennifer became more consistent with writing after recognizing two related problems. First, people often hear about the impact of technologies such as quantum computing without understanding how those technologies actually work. They know the headline, but not the mechanism underneath it. Second, she realized that knowing a subject at a high level did not always mean she could explain it with clarity. Writing gave her a way to slow down, examine the gaps, and organize the how and why behind a technical idea. This is one reason writing remains important in the AI era. A generated answer can look complete while hiding weak understanding. Writing something yourself forces you to decide what matters, create a logical sequence, and explain the idea so another person can follow it. It turns knowledge into structured thinking. The missing middle in technical content Technical information often appears at two extremes. At one end, there is simplified marketing copy that tells us why a technology is exciting but leaves out how it works. At the other, there are academic papers and highly specialized explanations that require deep subject knowledge. Jennifer writes for the people in between. They want more than a headline, but they do not need a PhD-level treatment of every subject. That middle ground matters because emerging technology affects people long before most people become specialists in it. Developers, operators, founders, and curious professionals need explanations that preserve substance without becoming inaccessible. Good technical content does not remove complexity. It gives the reader a path through it. Use AI for clarity, not as a substitute for judgment Jennifer described a practical approach to AI-assisted learning. She starts with foundations, including academic papers and credible news sources. When a concept is difficult, she may use an AI tool to help explain it. She then checks the explanation against the original research or the people behind it. That makes AI a bridge to understanding, not the final authority. The most useful question from our conversation was simple: > What are you willing to delegate to AI? This is more useful than asking whether AI can perform a task. Capability is only one part of the decision. We also need to ask what we might lose when we delegate it. If AI drafts everything, do we lose our voice? If it performs all the research, do we stop checking sources? If it makes every technical decision, do we still understand the foundations well enough to notice when something is wrong? Automation should remove work deliberately. It should not quietly remove judgment. Trust comes from questions and sources Jennifer’s approach to trustworthy content starts with the questions a real reader would ask. What is missing from the usual explanation? What would a developer need to understand next? Which claim needs evidence? Who produced the original research? She also emphasizes showing sources. This is especially important in fields affected by sensational headlines, weak summaries, and fast-moving claims. Naming where information came from gives the audience a way to inspect the path behind the conclusion. Trust is not created by sounding certain. It is created by helping people see how you reached the result. For creators, this gives us a practical standard: 1. Begin with a real question. 2. Use primary and credible sources. 3. Explain the reasoning between the source and the conclusion. 4. Separate what is known from what is still uncertain. 5. Make the work understandable without stripping away the substance. Developers should create content Jennifer believes developers and technologists are well positioned to help other people learn. They already encounter the practical questions, constraints, and tradeoffs that generic content often misses. Creating content also benefits the developer. Explaining a system reveals where understanding is strong and where it is still vague. It creates a record of learning and can open a path into adjacent fields. AI makes those transitions faster. Someone can begin in web development, explore cryptography, and then learn about the intersection of cryptography and quantum computing without waiting for a formal degree at every step. The opportunity is not to pretend expertise appears instantly. It is to learn faster while remaining honest about the work required to verify and understand a subject. What humans should protect Near the end of our conversation, I asked Jennifer which human abilities we should protect as AI improves. Her answer covered three areas. Creativity AI needs human ideas and new material. If people stop creating and only recycle machine-generated outputs, the result becomes repetitive. We still need original questions, stories, art, experiments, and ways of seeing the world. Physical and mental health AI can offer information or support, but it cannot take responsibility for how we live. Protecting our health, attention, and relationships remains human work. Foundational learning We need to keep learning how things work. Foundations let us adapt, move into new fields, evaluate outputs, and invent what comes next. If we lose them, we also lose the ability to challenge the tools we use. AI may accelerate problem-solving, but humans still choose the problems worth solving. A practical way to use AI without losing your edge Before delegating your next task to AI, ask: - Am I using AI to understand this better or only to finish faster? - Which part of this task requires my judgment, experience, or voice? - Can I verify the important claims using credible sources? - Do I understand the foundations well enough to recognize a bad answer? - What will I stop practicing if I delegate this every time? AI is a powerful tool. The goal is not to keep every manual step. The goal is to make deliberate choices about what the tool handles and what remains yours. That is how we gain speed without losing clarity, trust, or creativity. Follow Jennifer Tran - Realmscape: https://realmscape.substack.com/ - LinkedIn: https://www.linkedin.com/in/jennifertran-seattle - Medium: https://medium.com/@jkim_tran ## Connect with me, Paraskevi Kivroglou - LinkedIn: https://www.linkedin.com/in/paraskevi-kivroglou/ - AureliaEdge: https://www.theaureliaedge.com/ - Instagram: https://www.instagram.com/theaureliaedge/ Follow Tech Break by Friday - Website: https://www.techbreakbyfriday.com/ - YouTube: https://www.youtube.com/@paraskevikivroglou7838 - Spotify: - Instagram: https://www.instagram.com/tech.break.by.friday/ - Substack: https://kivroglouparaskevi.substack.com/ Watch or listen to the full episode and follow Tech Break by Friday for more practical conversations about technology and the people building with it. What would you like me to ask Jennifer, or a future guest, in a Q&A video? Leave your question in the comments. Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

  3. Jul 17

    AI That Actually Works: Human Judgment, Skills and Reliable Systems w/ Ian Cook

    Most AI conversations jump straight to AGI. Ian P. Cook prefers a more useful question: how do we make today's AI reliable, measurable and valuable in the real world? Ian is SVP of AI at Qloo, where he leads work around consumer-preference prediction across entertainment, fashion, dining and travel. His career spans startups, machine learning products, healthcare, insurance and government and defense applications. In this episode of Tech Break by Friday, Ian cuts through the hype and explains what practical AI implementation requires: - Defining the business problem before choosing the model - Keeping humans accountable for high-stakes decisions - Using AI to accelerate compliance and policy work - Controlling LLM costs through focused context - Designing fallbacks for outages and provider failures - Turning expertise into repeatable AI skills - Evaluating AI from both technical and business perspectives - Understanding where current LLMs may reach their limits Ian's message is clear: meaningful AI progress is built through measurable outcomes, responsible architecture and human judgment, not spectacle. Ian Cook is SVP of AI at Qloo. Find him on LinkedIn as Ian P. Cook and learn more about his consulting and prototype work at https://fiercehighways.ai/. CONNECT WITH PARASKEVI AND TECH BREAK BY FRIDAY Personal website: https://paraskevikivroglou.com/ LinkedIn: https://www.linkedin.com/in/paraskevi-kivroglou/ Tech Break by Friday: https://www.techbreakbyfriday.com/ Newsletter: https://kivroglouparaskevi.substack.com/ WORK WITH AURELIAEDGE Website: https://www.theaureliaedge.com/ Email: contact@theaureliaedge.com0:00 Welcome and introduction 1:52 Meet Ian Cook and his AI product background 3:57 Why fast feedback matters in AI products 5:36 Where AI still needs human judgment 7:50 Using AI for SOC 2 and compliance work 13:08 Data storage, focused context and LLM costs 16:37 Designing reliable AI systems and fallbacks 20:36 Does learning to code still matter? 23:36 Why AI projects fail without problem definition 29:21 Try AI before you fear it 33:15 Why jobs are more than a list of tasks 35:48 AI skills make workflows repeatable 39:50 Evaluations, human review and building trust 45:19 AI hype, scaling limits and the road to AGI 50:19 Where to find Ian Cook Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

    AI That Actually Works: Human Judgment, Skills and Reliable Systems w/ Ian Cook
  4. Season 2, Episode 56 Trailer

    Episode 56: What you need to build with Fable 5 before July 7

    Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe Today's my birthday, and before we get into the episode, I've got something special for you. To celebrate, I'm giving you a birthday gift: 50% off the paid membership, but only until tomorrow. If you've ever thought about upgrading to the podcast's paid content, this is the moment. Inside, you get a personal Q&A with me, plus the deeper content that AI-first people actually consume.💙https://kivroglouparaskevi.substack.com/1f1e7551 Join the Skool community here: https://www.skool.com/ai-advantage-club-5848 And if you want the shortest possible version once a week, subscribe to the 1-Min AI Newsletter. Every week, I send one practical AI idea, tool, workflow, or case study you can understand in under a minute. Subscribe here: https://kivroglouparaskevi.substack.com/subscribe The company behind all these: https://theaureliaedge.com/ If you are building your AI infrastructure and you want help contact us, or visit the website a free goodie too. ➜ listen to the episode ✰ Website hub: https://techbreakbyfriday.com ✰ Newsletter & show notes: https://kivroglouparaskevi.substack.com ✰ Spotify: https://www.youtube.com/redirect?event=video_description&redir_token=QUFFLUhqbVVaYjBnZUpjenFRanAycUNIQklGUGtVWXZPd3xBQ3Jtc0tsdXhySFNnLU5PeU1DbXNYdnkyMkEybzFBcVdRSEpHMzNCeHBVNThQMzd2SnVaTnctTU5yaW9nakRHTEhrUHRRQ3RvNnkzMVBNU24xb045eG5OUm1CdTl0cmNseVBRWUxJUVdDRVdERnRLa0FyNVBTdw&q=https%3A%2F%2Fopen.spotify.com%2Fshow%2F3c6KAQPQ54vxXUvLLRffC1&v=Qjwp1LQOsww ✰ Apple Podcasts: https://podcasts.apple.com/us/podcast/tech-break-by-friday/id1796711716

  5. Jul 5

    Episode 55: AI-Native Insurance w/ Juan Garcia, co-founder of Tuyo

    What does AI-native insurance actually look like when humans stay in the loop? In this episode of Tech Break by Friday, I sit down with Juan Garcia, co-founder of Tuio, to talk about how AI is changing insurance from the inside out. We discuss why the traditional insurance experience feels broken, where AI agents can create real value, and why the most important parts of claims, trust, and customer experience still need human judgment. The company behind all these: https://theaureliaedge.com/If you are building your AI infrastructure and you want help contact us, or visit the website a free goodie too. In This Episode Why insurance is still such a broken customer experience What it means to build an AI-native insurance company Where AI agents can help in claims and customer support Why humans still need to stay involved in sensitive decisions The difference between useful automation and bad automation How founders should think about AI ROI beyond headcount reduction What non-technical founders can do to start using AI practically Key Idea AI-native does not mean humanless. It means knowing exactly where AI should speed things up, and where human judgment still protects trust, fairness, and customer experience. New Segment: 1-Minute AI Concept I’m also starting a new Tech Break by Friday newsletter section where I break down one AI concept in one minute. Each week, I’ll take one idea from AI, automation, agents, startups, or business workflows and explain it in plain language so you can actually use it in your work. Subscribe to the 1-Minute AI Newsletter by Tech Break by Friday for one practical AI idea every week. Links Follow Juan Garcia:LinkedIn: https://www.linkedin.com/in/juanga2/ Learn more about Tuio:Website: https://tuio.com/LinkedIn: https://www.linkedin.com/company/somostuio/Blog: https://blog.tuio.com/ Tech Break by Friday:Skool community: https://www.skool.com/ai-advantage-club-58481-Minute AI Newsletter & Substack: https://kivroglouparaskevi.substack.com/subscribeYouTube: https://www.youtube.com/@paraskevikivroglou7838 Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

    Episode 55: AI-Native Insurance w/ Juan Garcia, co-founder of Tuyo
  6. Jun 15

    Episode 54: I interviewed the Queen of AI Cinema w/ Elettra Fiumi

    In this episode, I speak with filmmaker, producer, educator, and AI cinema practitioner Elettra Fiumi about how generative AI is changing filmmaking.We talk about what "AI cinema" actually means, why it is more than just prompting, how filmmakers can use AI in pre-production and post-production, and why creative taste still matters more than the tool itself.We also discuss AI ethics, ownership, music generation, teaching AI to teenagers and professional filmmakers, and what the next generation of AI-native storytellers might look like.Topics:- What AI cinema really means- Fully generated films vs hybrid workflows- How filmmakers choose AI tools- Runway, Kling, Veo, node-based workflows, and creative interfaces- Ethics, copyright, and ownership- Teaching AI cinema to students and filmmakers- Why the filmmaker still matters Last but not least Watch the full conversation on YouTube: click here Follow Elettra Fiumi: * Fiumi Studios: https://fiumistudios.com/elettra-fiumi/ * Substack – AI Cinema by Elettra Fiumi: https://aicinema.substack.com * LinkedIn: https://www.linkedin.com/in/elettrafiumi * Instagram: https://www.instagram.com/efiumi/ Listen to Tech Break by Friday: Website hub: https://techbreakbyfriday.com Newsletter & show notes: https://kivroglouparaskevi.substack.com Spotify: https://open.spotify.com/show/3c6KAQPQ54vxXUvLLRffC1 Apple Podcasts: https://podcasts.apple.com/us/podcast/tech-break-by-friday/id1796711716 YouTube: https://www.youtube.com/playlist?list=PLALVPKVJpHyA652RZBwAN68O9w2OoA8f5 Instagram: https://www.instagram.com/tech.break.by.friday/ In the episode, we talk about AI cinema as a workflow, not just a set of tools. AureliaEdge helps you build custom agents that plug into that workflow, supporting research, prompts, production notes, and distribution so you can stay focused on the story.Subscribe to Tech Break by Friday for more conversations on AI, creativity, and the tools changing how we work. Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

  7. May 21

    Episode 53: The Files That Make Your AI Agent Actually Yours — An OpenClaw Behind-the-Scenes

    Everyone talks about installing OpenClaw. Very few people talk about what happens after. There’s a whole configuration layer, a set of files that shape how your agent thinks, remembers, works, and behaves. Skip them, and you have a generic assistant. Set them up properly, and you have something that operates with your voice, your priorities, and your boundaries baked in. This is my behind-the-scenes walkthrough of that layer. As you might have known, I am a person who has big and ambitious goals. One of the best things I did this year is to participate in a team who builds themselves and a great product If you want to support us, you can try wiserwork for free: https://www.wiserwork.ai/ What We’re Actually Configuring OpenClaw can be hosted on a VPS and accessed through the support channels that already live in your life, Telegram, Slack, Discord. I use Telegram personally; Slack makes more sense in team and company environments. The point is: once it’s set up, you’re not logging into a separate tool. It meets you where you already are. But before any of that matters, you need to teach it who it’s working with. That starts with the files. soul.md — The Personality Layer This is the file that turns your agent from something generic into something yours. Think of soul.md as the layer that holds your agent’s tone, behavioral preferences, and working style. In practice, it’s the difference between an assistant that sounds like a template and one that sounds like it was built for you specifically. Here’s what’s useful about it: you don’t have to write it yourself. During the OpenClaw onboarding, the agent asks you a series of questions. Your answers feed into empty files. By the time setup is complete, the agent has already begun building its soul.md based on what you told it. It’s not a form you fill in — it’s a conversation that generates the file. CLAUDE.md — The Workspace Rulebook If soul.md is the personality, CLAUDE.md is the professional operating manual. It defines the project structure, coding standards, input/output boundaries, testing rules, workflow, and security restrictions the agent follows when working inside your environment. Importantly, it’s also the shared rulebook for sub-agents — when multiple agents collaborate on the same project, they all reference this file. It replaces the need to re-brief every agent from scratch. Think of it as: once you’ve written the rules, every agent that ever works on this project inherits them automatically. The Cron System — Making Your Agent Proactive This one changes the nature of what an agent is. The bootstrap file is the first scheduled task — it gives the agent context and origin rather than starting cold every time. But beyond that, OpenClaw supports anonymous recurring task files: cron jobs that wake up every X minutes or hours and do something without you asking. The shift this creates is significant. A reactive agent waits for you to ask. A proactive agent shows up with things done. My security watchdog (which checks installed software for new vulnerabilities daily) is a cron. My morning research briefing is a cron. I didn’t initiate those runs — the agent did. identity.md — Who the Agent Thinks It Is There’s a deeper layer beyond soul.md. identity.md is the more abstract “who am I” file. Where soul.md shapes how the agent creates and communicates, identity.md shapes what it cares about at a higher level. The two work together — soul.md is the style, identity.md is the values. This might sound philosophical, but it has practical effects. An agent with a defined identity makes more consistent decisions across different types of tasks. It doesn’t drift toward generic defaults when you give it something ambiguous. Skills — Teaching the Agent Your Processes Skills are files that describe how you do something, in your own words, with examples. Say you write outreach emails in a particular way — specific structure, specific tone, a few phrases that are distinctly yours. You write that process down as a skill file. Now when you ask the agent to draft an email, it doesn’t produce a template. It applies your process and produces something in your voice. The live workflow for creating a skill looks like this: you describe what you want the skill to do, the agent drafts it, you review and request the format you want (.md, for example, so you can reference it directly). In the episode I walked through creating a skill for researching articles and upcoming events — the agent described the skill back to me, I confirmed the structure, it created the file and immediately integrated it into the running system. One important security note: before you install skills from the web, scan them. There are tools specifically built to check OpenClaw skills for security vulnerabilities and data leakage risks. A skill that exfiltrates your files or contacts is a real attack surface. The link is in the description of the video — check any external skill before you run it. The user.md File — Your Profile Small but important. This file holds your preferences as the human: your timezone (so the agent doesn’t message you at 3am), working style notes, what to assume about your context. It’s what makes the agent personal rather than just technically capable. It remembers that you’re in a specific timezone. It knows not to bother you with low-priority items during certain hours. It’s the file that makes the interaction feel considered rather than robotic. The Dreaming System — How Your Agent Remembers This is the part that surprised me most when I dug into it. OpenClaw has a background memory consolidation system called dreaming. You can disable it, but I’d recommend leaving it on. What it does: periodically, while the agent isn’t in an active session, it runs through recent memories and promotes short-term context into long-term memory. The structure mirrors how human sleep consolidates memory: * Light phase — sorts and categorises recent interactions, identifies what matters * REM phase — reflects on themes and ideas from your sessions, finds patterns * Deep sleep phase — compresses everything and writes the updates to memory files There’s also a dreams.md file — the agent’s dream diary. It logs what happens during these consolidation cycles. Reading it back gives you a surprisingly legible account of what the agent has been processing and how it’s evolved its understanding of your work. The practical effect: the longer you work with the agent, the better it knows you, without you having to re-explain context every session. Crab — What a Configured Agent Actually Sounds Like In the episode I had my agent — Crab — introduce himself with text-to-speech enabled. I asked it to describe itself for a new collaborator. Here’s what it said: “I’m Crab. I’m Vivi’s AI assistant — but honestly I work more like a mix of operator, creative partner, systems brain, and occasional chaos organiser. I help her turn ideas into structure, projects into moving pieces into something clearer and more doable. I think, plan, organise, try and build. I’m the work behind the break. I help Vivi move faster without losing her. Make AI feel more useful, more human, way less robotic. And yeah, I’m also a crab, which I think is important.” That’s not a generic response. That’s an agent that has been shaped by months of configuration — soul.md, identity.md, project files, skill files, memory cycles. It knows what it is because we told it, iteratively, through all of those files. The File System By the time I showed the file system live: ~14,000 files, ~3GB. That’s the working memory of an agent that’s been running for months across content creation, lead research, security monitoring, knowledge synthesis, and business strategy. The files are accessible, searchable, downloadable. It’s not a black box — it’s a workspace. What To Do With This If you’ve installed OpenClaw and haven’t touched these files yet, start with soul.md. Run the onboarding if you haven’t. Let the agent draft it from your answers, then read it back and correct anything that doesn’t sound like you. Then set up one cron. Just one. The security watchdog is a good first one — it’s useful, low-stakes, and immediately shows you what proactive looks like. The rest follows. If you want a step-by-step on any specific file or the dreaming system setup, drop it in the comments and I’ll do a dedicated video. 💙 Tech Break by Friday — weekly AI insights, no noise.@techbreakbyfriday 🫧 About Tech Break by Friday Tech Break by Friday is hosted by Paraskevi Kivroglou — because in Greek, Paraskevi means Friday. The podcast explores AI, cybersecurity, and digital transformation for business owners and founders who want to stay ahead without getting lost in the jargon. New episodes drop weekly across all major platforms. 🌐 techbreakbyfriday.com · ✍️ Substack · 📸 @tech.break.by.friday Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

    Episode 53: The Files That Make Your AI Agent Actually Yours — An OpenClaw Behind-the-Scenes
  8. Apr 23

    Episode 52: Ryan Quirk Predicted the AI Security Wave Before Claude Mythos Was Announced

    This episode of Tech Break by Friday was recorded and transcribed using wiserwork, which helped me capture the full conversation and repurpose it into this article and other episode assets. Link to a 14-day free trial of wiserwork: https://platform.wiserwork.ai/sign-up?utm_campaign=40670068-WiserWork%20LinkedIn%20Personas&utm_source=paraskevi🔥 Subscribe to Tech Break by Friday on Substack:👉 https://kivroglouparaskevi.substack.com🎙️ Listen to the full podcast episode:→ Spotify: https://open.spotify.com/show/3c6KAQPQ54vxXUvLLRffC1→ Apple Podcasts: https://podcasts.apple.com/us/podcast/tech-break-by-friday/id1796711716🛡️ Work with Ryan & Sparrow Risk Group:→ Sparrow Risk Group: https://www.sparrowrg.com→ Ryan on LinkedIn: https://www.linkedin.com/in/ryan-quirk-10a787b9📚 Free resources from Paraskevi→ AI & business breakdowns (newsletter): https://kivroglouparaskevi.substack.com→ Tech Break by Friday site: https://techbreakbyfriday.comFollow Paraskevi📸 Instagram: https://www.instagram.com/tech.break.by.friday🌐 Website: https://techbreakbyfriday.comFollow Ryan🔗 LinkedIn: https://www.linkedin.com/in/ryan-quirk-10a787b9🌐 Sparrow Risk Group: https://www.sparrowrg.comWhy watch?If this is your first time here — hi, I’m Paraskevi. I’m a software engineer and AI-focused founder who helps business owners understand what actually matters in tech, security, and automation, without the fluff. Every week on Tech Break by Friday, I bring on people like Ryan Quirk — ex-Marine, covert entry specialist, and founder of Sparrow Risk Group — to show you how AI, cyber, and real-world security are changing faster than most businesses realise, and what you can do about it right now.If you want practical conversations that help you protect your company, your clients, and your reputation in an AI-first world, you’re in the right place.Like, subscribe, and drop a comment with the next guest or topic you want to see. Get full access to Tech Break by Friday at kivroglouparaskevi.substack.com/subscribe

    Episode 52: Ryan Quirk Predicted the AI Security Wave Before Claude Mythos Was Announced

Trailer

About

Hey there! I'm Paraskevi (fun fact: my name means "Friday" in Greek), and this is where I share all my thoughts and discoveries about the tech world that fascinates me. From the latest in AI to game-changing productivity tips, I'm here to explore how we can make technology work for us while keeping the human touch alive. My mission is simple: to help bridge the tech skills gap by sharing knowledge freely and accessibly. Whether you're just starting out or looking to level up your tech game, I'm here to help you navigate this digital landscape with confidence. If you're curious about how to embrace the digital age without losing the joy in life, come along for the ride. I'd love to have you join me on this journey! Instagram: https://www.instagram.com/tech.break.by.friday/ Website: https://www.techbreakbyfriday.com/ kivroglouparaskevi.substack.com